A deep-learning approach to the dynamics of Landau-Zener transitions

• Main Authors: Gao, Linliang, Sun, Kewei, Zheng, Huiru, Zhao, Yang
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Engineering::Materials; Back Propagation Neural Networks; Convolutional Neural Networks
• Online Access: https://hdl.handle.net/10356/150303
• Institution: Nanyang Technological University

Traditional approaches to the dynamics of the open quantum systems with high precision are often resource intensive. How to improve computation accuracy and efficiency for target systems is an extremely difficult challenge. In this work, combining unsupervised and supervised learning algorithms, a d...